1 / 17

Scatterplots & Correlation

Scatterplots & Correlation. Section 3.1A. Relationships between two Variables. A study found that short women are more likely to have heart attacks than tall women…. Smokers on average die younger than nonsmokers….

jarvis
Télécharger la présentation

Scatterplots & Correlation

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Scatterplots & Correlation Section 3.1A

  2. Relationships between two Variables • A study found that short women are more likely to have heart attacks than tall women…. • Smokers on average die younger than nonsmokers…. • But – to make these conclusions we must first eliminate the effect of other variables.

  3. Lurking Variables • Can strongly influence the relationship between two variables.

  4. Case of the Missing Cookies

  5. Scatterplot • Used to show the relationship between two quantitative variables measured on the same individuals. Each individual in the data appears as a point in the graph. • Explanatory variable goes on the horizontal axis. • If there is no explanatory variable then either variable can go on the horizontal axis.

  6. Has the increase been constant?

  7. Types of Correlation

  8. Describe the correlation • Apples: circumference, weight • College freshmen: shoe size, weight • People: age, grip strength • Drivers: blood alcohol, reaction time

  9. Caution….. Association does not imply causation!

  10. Interpreting Scatterplots • Look for direction (positive, negative, none) • Look at the form of the relationship • Straight or curved • Any clusters • Look at the Strength • How closely does it follow the form • Look for outliers • Individual value hat falls outside the overall pattern of the relationship

  11. When writing to describe: • There appears to be a (strong, weak, moderate) (positive/negative) (linear, nonlinear) relationship between _____ (give the x variable) and ______ (give the y variable) • Do not just say between x & y!

  12. Graph Using a calculator:

  13. Interpret…. Direction Form Strength Outliers Influential Pt!

  14. The following data represents 9th grade students who go on a backpacking trip.

  15. Interpret: Backpack

  16. Homework • Page 159 (1-13) odd

More Related